We are seeking a skilled and motivated Google / AWS Cloud DevOps Engineer with over 3 years of hands-on experience in building and maintaining scalable, reliable, and secure cloud infrastructure. You will be part of a dynamic team that focuses on delivering robust DevOps solutions using Google Cloud Platform (GCP), AWS, helping streamline CI/CD pipelines, automate infrastructure provisioning, and optimize cloud-based deployments. Key Responsibilities: Design, implement, and manage scalable and secure infrastructure on Google Cloud Platform / AWS. Develop and maintain CI/CD pipelines using tools such as Cloud Build, Jenkins, GitLab CI/CD, or similar. Implement infrastructure as code (IaC) using Terraform or Pulumi. Monitor system health and performance using AWS / GCPs operations suite (formerly Stackdriver). Automate manual processes to improve system reliability and deployment frequency. Collaborate with software engineers to ensure best DevOps practices are followed in application development and deployment. Handle incident response and root cause analysis for production issues. Ensure compliance with security and governance policies on AWS / GCP. Optimize cost and resource utilization across cloud services. Required Qualifications: 3+ years of hands-on experience with DevOps tools and practices in a cloud environment. Strong experience with Google Cloud Platform (GCP) / AWS services (Compute Engine, Kubernetes Engine, Cloud Functions, Cloud Storage, VPC, etc.). Google / AWS Cloud Professional Cloud DevOps Engineer certification is mandatory. Proficiency with CI/CD tools and version control systems (e.g., Git, GitHub/GitLab, Cloud Build). Solid scripting skills in Bash, Python, or similar languages. Experience with Docker and Kubernetes. Familiarity with monitoring/logging tools such as Prometheus, Grafana, and Cloud Monitoring. Knowledge of networking, security best practices, and IAM on GCP / AWS. Preferred Qualifications: Experience with multi-cloud or hybrid cloud environments. Familiarity with Agile and DevOps culture and practices. Experience with serverless architectures and event-driven design patterns. Knowledge of cost optimization and GCP/AWS billing.
Role & responsibilities As a Full-Stack DevOps Engineering Intern, you will be a key player in the entire software development lifecycle, from writing clean code for both the front-end and back-end to building and maintaining automated deployment pipelines. This role is ideal for an aspiring engineer who wants to gain hands-on experience with cutting-edge technologies, including cloud infrastructure and the integration of AI/ML models. Key Responsibilities Full-Stack Development : Develop and maintain scalable back-end services using Python or NodeJS or Go and front-end using React, Angular or Vue.js . AI/ML Integration : Assist in integrating and deploying AI/ML models into core application features. DevOps & Automation : Contribute to the development and maintenance of CI/CD pipelines using tools like GitHub Actions or Jenkins. Contribute to the management of infrastructure as code using tools like Terraform or Ansible. Cloud Infrastructure : Work with public cloud platforms ( GCP or AWS ) to deploy and manage applications and resources. Version Control : Utilize Git for collaborative development and version management. Collaboration : Work closely with a team of experienced engineers to design, build, and deploy new features. Troubleshooting : Debug and resolve technical issues across the application stack and infrastructure. Preferred candidate profile Currently pursuing a Bachelor's degree in Computer Science, Information Technology Engineering, or a similar field. Solid foundation in data structures, algorithms, software development lifecycle (SDLC), object-oriented programming, and modern agile methodologies. Experience with Git for version control. Familiarity with at least one back-end language, with a strong preference for Python, NodeJS or Go . Basic understanding of front-end development concepts and frameworks (e.g., React, Angular, Vue.js ). Knowledge of cloud computing concepts and a basic understanding of GCP or AWS . An understanding of containerization technologies like Docker . A strong passion for AI/ML , DevOps , and automation. Excellent problem-solving skills and a proactive, eager-to-learn attitude. Good communication and collaboration skills. NOTE - This is internship cum placement program so if you looking only for internship for academic purpose then please do not apply.